Class/Object

ksb.csle.didentification.verification.check

KAnonymityCheck

Related Docs: object KAnonymityCheck | package check

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class KAnonymityCheck extends AnyRef

This class checks whether the anonymized data satisfies the common K-anonymity constraint.

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Instance Constructors

  1. new KAnonymityCheck()

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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def getKAnonymityValue(src: DataFrame, columnNames: Array[String]): Double

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    Returns the k-anonymity value.

    Returns the k-anonymity value.

    src

    The source dataframe

    columnNames

    The array of column names

    returns

    Double return the k-anonymity value.

  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. def kAnonymityCheck(src: DataFrame, columnNames: Array[String], kAnonymityValue: Int): Boolean

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    Checks the calculated k-anonymity value of 'src' dataframe is bigger than the given k-anonymity value.

    Checks the calculated k-anonymity value of 'src' dataframe is bigger than the given k-anonymity value.

    src

    The source dataframe

    columnNames

    The array of column names

    kAnonymityValue

    The given k-anonymity value

    returns

    Boolean return true if the calculated k-anonymity value is bigger than the given one.

  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. final def synchronized[T0](arg0: ⇒ T0): T0

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  18. def toString(): String

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  19. final def wait(): Unit

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  20. final def wait(arg0: Long, arg1: Int): Unit

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  21. final def wait(arg0: Long): Unit

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